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ANNJ, Another NeuralNetwork for Java is a neuralnetwork framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types.
NeuronDotNet is a neuralnetwork engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of NeuralNetwork based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose.
JAFF: Just Another Financial Framework. Technical Analysis (studying the price and trading history) of some stock quotes from internet. NeuralNetwork analysis for non-linear prediction and forecasting.
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This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neuralnetwork models. This tool can export the model into C, C++, Matlab.
The aim of GUINNEA (Graphical User Interfaced NeuralNetwork Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those
A NeuralNetwork Library in C++ to implement multilayer perceptrons.
SINCO is a GPL library with functions to implement Artificial Neural Networks simulators. You are free to define the network (ilimited neurons and layers) and the functions (training, threshold, etc.).
NxNet is an implementation of a BPN neuralnetwork written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.
NNFpp (NeuralNetwork Framework plus plus) is a C++ porting of the NNF library. The library is a complete and portable C++ class with specified functions for using neural networks.
Java Interface for Neural and Genetic Pattern Classification JINGPaC is a framework to solve the problem of Pattern Classification thanks to Genetic Programming, NeuralNetwork, Genetic Algorithms and many other techniques. JINGPaC2 is the latest version
Java Kohonen NeuralNetwork Library
Kohonen neuralnetwork library is a set of classes and functions for design, train and use Kohonen network (self organizing map).
NeuralJ is a free, open-source neuralnetwork library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neuralnetwork platform available.
NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial NeuralNetwork, trained by Temporal Difference Learning using some Genetic Algorithm style behaviour.
Lightweight backpropagation neuralnetwork in C++. The project provides a class implementing a feedforward neuralnetwork, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
Amygdala is a C++ spiking neuralnetwork library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way
Lightweight backpropagation neuralnetwork in C. Intended for programs that need a simple neuralnetwork and do not want needlessly complex neuralnetwork libraries. Includes example application that trains a network to recognize handwritten digits.
A neural net module written in python. The aim of the project is to provide a large set of neuralnetwork types accessed by an API that is easy to use and powerful.
Neuralnetwork libraries in many different languages compatible with each other, such that neural networks can be trained on one platform and utilised on another.
Do you want a neuralnetwork OO class?
With documentation?
Do not go further... You found it!
you have here a complete library of different neuralnetwork in an OO encapsulation.
Starting from adaline, back propagation, Kohonen
TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
nn-utility is a neuralnetwork library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
reppy is a PDF-Report Generator for databases (MySQL, Postgres, CSV) written in Python. The report definition is based on an XML-template, which can be edited with the included program XTRed. It needs the python library reportlab for pdf-creation.
Cluster Networks are a new style of neural simulation / neuralnetwork modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.